Scholar
Amit K. Roy-Chowdhury
Google Scholar ID: hfgwx0oAAAAJ
Professor and UC Presidential Chair, UC Riverside; Fellow IEEE, IAPR
Citations & Impact
Citations
9,462
H-index
43
i10-index
136
Publications
20
Co-authors
30
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published over 250 papers in peer-reviewed journals and top conferences. Serves as an Associate Editor of IEEE Trans. on Pattern Analysis and Machine Intelligence, was a Senior Area Editor for IEEE Trans. on Image Processing, and regularly serves as an Area Chair/Senior Area Chair for major computer vision and machine learning conferences. Fellow of the IEEE and IAPR, received the Doctoral Dissertation Mentoring/Advising Award from UCR in 2019, and the Distinguished Alumni Award from the University of Maryland, College Park in 2020. His work on face recognition in art was featured widely in the news media, including a PBS/National Geographic documentary.
Research Experience
- Leads the Vision and Learning Group (formerly Video Computing Group) at UCR, working on foundational principles of computer vision, image processing, and machine learning, with applications in cyber-physical, autonomous, and intelligent systems. His research has been supported by various US government agencies and private industries.
Education
- Ph.D. in Electrical and Computer Engineering from the University of Maryland College Park; M.S. in Systems Science and Automation from the Indian Institute of Science Bangalore, India; B.S. in Electrical Engineering from Jadavpur University, Kolkata, India.
Background
- Research interests include Computer Vision and Image Processing, Machine Learning, Robot Autonomy, Statistical Signal Processing, and AI for Science. He is the Co-Director of the UC Riverside AI Research and Education (RAISE) Institute, Chair of the Robotics Program, and Co-Director of the DoD Center of Excellence: Adaptive, Autonomous and Secure Heterogeneous Integrated Systems.
Miscellany
- Teaches courses including EE114 - Probability, Random Variables and Processes, CS224/EE242A - Foundations of Machine Learning, EE215 - Stochastic Processes, EE236 - State and Parameter Estimation, EE241 - Advanced Digital Image Processing, EE243 - Advanced Computer Vision, EE247 - Current Topics in Computer Vision.
